eBrevia Advisory helps law firms and legal departments move from AI experimentation to secure, customized, practical deployment.
We help clients design Harvey- or Legora-style functionality when they need more control, more customization, a clearer security posture, or a more cost-effective path than a large enterprise platform.
Advisory is for teams that want to implement AI responsibly, control cost and security risk, and build workflows that lawyers will actually use.
Identify where legal AI will actually help your team and where it will not.
Design legal AI workflows that survive InfoSec, procurement, and client scrutiny.
Build practical, client-specific workflows that connect AI capability to the way legal teams work.
Many legal teams are testing AI, but struggle to move from demos to secure, governed, useful workflows. Advisory helps clients choose the right use cases, define controls, build pilots, evaluate tools, and determine whether the best path is eBrevia software, an open-source solution, a custom workflow, or a hybrid approach.
That means legal teams can avoid generic AI experiments and instead build workflows tied to contract review, drafting, document Q&A, knowledge search, diligence, compliance, and playbook-based review.
Create defensible policies for traceability, transparency, human oversight, and auditability.
Help clients decide when to use eBrevia products, open-source workflows, custom solutions, or hybrid approaches.
Provide hands-on technical support for workflows, integrations, DMS migrations, and secure deployment.
Design workflows around confidentiality, tenant isolation, encryption, access control, and client data protection.
Test accuracy, usability, lawyer adoption, and whether the selected AI path is worth scaling.
Most legal AI stalls between a promising demo and a deployment that survives InfoSec, procurement, and partner scrutiny. Advisory is built to close that gap in weeks, not quarters.
You work directly with people who have shipped contract AI in regulated, high-stakes environments — not a rotating bench of generalists. Every engagement ends in something working, not just a strategy deck.
Map your highest-value use cases, data sources, security requirements, and the real constraints of your tech stack and budget.
Define the architecture, governance model, human-review checkpoints, and success criteria — and decide whether the right answer is eBrevia software, custom, open-source, or hybrid.
Stand up a scoped pilot on real documents, measure accuracy and adoption, and prove value with the people who will actually use it.
Integrate with your DMS/CLM, harden security and controls, train users, and expand to the next workflow once the first one sticks.
From teams rolling out eBrevia to teams still deciding whether to adopt AI at all, Advisory adapts to where you are today.
Design use cases, prepare contract data, build playbooks, and roll out eBrevia so it lands with lawyers and delivers measurable value.
Get help with governance, pilot design, tool evaluation, and cost analysis before you commit to a platform or a budget.
Navigate integrations, DMS migrations, model-agnostic architecture, and the security posture enterprise and regulated clients demand.
How Advisory works, who it’s for, and how it fits with eBrevia’s software.
Advisory is a service offering. Contract Analyzer, DraftPro, and Connect are software products. Advisory helps clients design, govern, implement, and evaluate legal AI workflows.
Law firms and corporate legal departments that want practical legal AI support, especially teams with security requirements, customization needs, procurement concerns, or budget constraints around large enterprise AI platforms.
Not always. Advisory can help clients evaluate whether to use eBrevia software, an open-source tool, a custom workflow, or a hybrid approach.
eBrevia combines contract AI product experience, legal workflow knowledge, integrations, and practical implementation support rather than only producing strategy decks.
Talk with eBrevia about AI governance, workflow design, implementation, integration, and pilot evaluation.